Sign up for our newsletter and get the latest big data news and analysis.

Search Results for: modeling

Why Modeling Languages are the Key to Data-Based Decision Making

In this contributed article, Angshuman Guha, CEO and Co-Founder of bipp, discusses how businesses are now looking at data in different ways, with CIOs forecast to spend more on data and business analytics than any other technology. This creates an urgent need to build trust in the data to realize the return on this investment. Data modeling languages ensure everyone uses the same vocabulary to represent critical KPIs and data. They improve data quality, collaboration, productivity while reducing inconsistencies, which all lead to trust.

2021 Trends in Data Modeling: Attaining the Universal Data Model Ideal

In this contributed article, editorial consultant Jelani Harper offers a number of important trends in data modeling for 2021, specifically inroads for attaining the universal data model ideal. Common data models are speedily becoming a necessity for organizations to determine all relevant data for any singular use case, the most convincing of which is still cognitive computing deployments.

Data Science Demystified: The Data Modeling Proposition

In this contributed article, editorial consultant Jelani Harper discusses how data modeling is the foundation of the data science discipline that’s responsible for the adaptive, predictive analytics that are so critical to the current data ecosystem. Before data scientists can refine cognitive computing models or build applications with them to solve specific business problems, they must rectify differences in data models to leverage different types of data for a single use case.

Enhancing Predictive Cognitive Computing Models with Traditional Data Modeling

In this contributed article, editorial consultant Jelani Harper suggests that with so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the conventional data models underpinning these applications.

2020 Trends in Data Modeling: Unparalleled Advancement

In this contributed article, editorial consultant Jelani Harper discusses how data modeling for 2020 and beyond will increasingly become characterized by data shapes, digital twins, ensemble modeling, ongoing model management, and model validation measures to satisfy what is quickly becoming the most demanding task in the data sphere.

Sigma Announces Visual Data Modeling, SQL Runner and One-click Snowflake Integration

Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing anyone to explore data in cloud warehouses and generate insights in minutes.

Beyond Moon Shots and Unicorns: AI Can Go Everywhere Thanks to New AI Training and Modeling Platform Ople

Artificial intelligence and the data science behind it are in high demand. An ever-expanding swath of industries see the value in AI-driven analysis and features. Yet finding the data scientists equipped to develop and refine them proves no easy task. Ople, the platform that automates AI modeling via AI, eliminates this bottleneck, making trained data scientists work better and faster, and drawing data hounds of other job descriptions seamlessly into AI work.

ZEPL Launches ZEPL Team Data Analytics and Modeling Solution

ZEPL today moved its interactive, multi-tenant environment platform out of beta and is now generally available. Designed for data scientists to collaboratively execute analysis through a single notebook interface, ZEPL ensures better, faster interactions with data. ZEPL also launched ZEPL Team, a more feature-rich solution to drive improved data science and analytics collaboration across organizational units.

Data Modeling Zone (DMZ)

Data Modeling Zone (DMZ) is the annual conference in the US and in Europe where you can sharpen your data modeling skills, share experiences with other data professionals, and shape our data modeling industry. DMZ US contains over 50 sessions crossing five tracks: Foundational Data Modeling, Requirements and Communication, Big Data and Architecture, Hands-On and Case Studies, and Advanced […]

Is Data Vault Modeling a Good Choice for Your Organization?

In this special guest feature, Moshe Kranc, CTO at Ness Digital Engineering, discusses data vault modeling and the key benefit of data vault architecture is that it has a design that is flexible and adaptable to meet the changing needs of an enterprise.